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Questions and Answers
What type of search trees are used in planning under uncertainty?
What type of search trees are used in planning under uncertainty?
- Decision trees
- OR-AND search trees
- AND-OR search trees (correct)
- OR search trees
Which of the following is NOT a type of local search algorithm?
Which of the following is NOT a type of local search algorithm?
- Genetic algorithms
- Hill-climbing search
- Simulated annealing
- Breadth-first search (correct)
In sensorless problem solving, what is the agent's situation?
In sensorless problem solving, what is the agent's situation?
- The agent has partial observations
- The agent has uncertain knowledge
- The agent has no observation (correct)
- The agent has complete knowledge of the environment
What is the main difference between an AND node and an OR node in an AND-OR search tree?
What is the main difference between an AND node and an OR node in an AND-OR search tree?
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Which of the following is an example of a problem formulation?
Which of the following is an example of a problem formulation?
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What is the main difference between a local search algorithm and a systematic search algorithm?
What is the main difference between a local search algorithm and a systematic search algorithm?
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Study Notes
Local Search Algorithms
- Primarily designed for pure optimization problems, aiming to identify the best possible state based on an objective function.
State-Space Landscape
- The concept of state-space landscape is critical for understanding local search methodologies.
- It represents the different states available in an optimization problem and their relationships to each other.
Local Beam Search
- A local beam search operates by exploring multiple states in parallel and shares useful information among these threads to enhance search efficiency.
- May suffer from limited diversity when exploring k states, potentially causing the search to focus too narrowly in a confined area of the state space.
- This concentration can lead to suboptimal solutions as it might overlook broader areas that could contain better states.
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Description
Learn about local search algorithms and how they are used to solve pure optimization problems. Understand the concept of state-space landscape and its relation to local search.
